Modeling of Power System for Minimization of Cost by Fuzzy Unit Commitment
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



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M.Tech / M.E / PhD Thesis | Electrical Engineering | India | Volume 3 Issue 11, November 2014

Modeling of Power System for Minimization of Cost by Fuzzy Unit Commitment

K Ravi Sankar, M Narendranath Reddy

In planning of power system the unit commitment plays a crucial role. For sake of optimal dispatch of generating unit commitment is extensively applied. By the unit commitment process we can determine the turn on and turn off times for generators. This paper put forward the implementation of fuzzy modeling to determine the uncertainty constraints like load forecasting and fuel cost. Intelligence technique Differential Evolution Immunized Ant Colony Optimization for unit commitment problem. The verification process was performed on IEEE 30-bus test system. A MATLAB code was implemented for fuzzy unit commitment and Differential Evolution Immunized Ant Colony Optimization technique and cost solution is presented.

Keywords: fuzzy unit commitment, particle swarm optimization, Differential Evolution Immunized Ant Colony optimization

Edition: Volume 3 Issue 11, November 2014

Pages: 2369 - 2372

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How to Cite this Article?

K Ravi Sankar, M Narendranath Reddy, "Modeling of Power System for Minimization of Cost by Fuzzy Unit Commitment", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=OCT141513, Volume 3 Issue 11, November 2014, 2369 - 2372

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